Data Analytics & Business Intelligence
Turn your business data into clearer management insights
Businesses often accumulate large volumes of accounting, sales and operational data without having the time or internal resources to analyse what the information is telling them.
Many businesses already have valuable information within their accounting systems, spreadsheets and operational records, but do not have an in-house data analyst to examine it.
If your business has accumulated meaningful transaction data and you believe there may be useful trends, patterns or opportunities within the numbers, a focused analytics exercise may help management see the business more clearly. This service is particularly suited to established SMEs that need analytical support from time to time rather than a full-time data analyst.
Deltus provides practical data analytics support to help businesses organise, analyse and visualise existing data, identify meaningful trends and develop clearer management information. Using established tools such as Excel, Python, Power BI and Tableau, we help turn available financial and operational data into useful insights that support better-informed business decisions.
If your business has accumulated meaningful transaction data and you believe there may be useful trends, patterns or opportunities within the numbers, a focused analytics exercise may help management see the business more clearly. This service is particularly suited to established SMEs that need analytical support from time to time rather than a full-time data analyst.
Deltus provides practical data analytics support to help businesses organise, analyse and visualise existing data, identify meaningful trends and develop clearer management information. Using established tools such as Excel, Python, Power BI and Tableau, we help turn available financial and operational data into useful insights that support better-informed business decisions.
Consider harnessing the power of data analytics tools if you are:
1) Accounting clients with substantial transaction data
You already maintain regular accounting records but want to look beyond the financial statements and examine the underlying transactions.
2) Data-heavy SMEs without an in-house analyst
Management has questions about performance, customers, costs or cash flow but does not require a permanent analytics team.
3) Businesses relying heavily on spreadsheets
You already maintain regular accounting records but want to look beyond the financial statements and examine the underlying transactions.
4) Owners with a specific business question
You do not need a broad analytics programme - you need help answering one or more well-defined questions using the data you already have.
From Data to Useful Information
The difficulty is often not collecting more data. It is knowing what questions
to ask, preparing the information properly and turning it into something
management can use.
Too much data, Too little visibility
Client Situation
Your accounting system contains years of transactions, but management mainly receives a standard income statement and balance sheet.
How we can help
Analyse relevant transactions and develop additional views of revenue, expenses, margins, customers or other areas management wants to understand.
Mgmt Reporting takes Too Long
Client Situation
Monthly reports require information to be copied between spreadsheets, taking up a lot of time and repeatedly reformatted.
How we can help
Organise the underlying data and develop a more repeatable reporting or dashboard process where the data structure allows it.
Revenue is growing, but why?
Client Situation
Total sales are rising, but management has limited visibility over the customers, products, services, locations, or period driving the change.
How we can help
Segment and compare transaction data to identify trends, concentrations and areas requiring further investigation.
Profit is not growing with sales
Client Situation
Revenue looks healthy while margins or net profit are weakening. Cash flow is weakening despite healthy sales and reported profit.
How we can help
Analyse revenue, direct costs, expenses and available operating information to identify potential margin and cost drivers.
Receivables Keep Increasing
Client Situation
Trade receivables are rising, but management has limited visibility over which customers are driving overdue balances and which accounts may present a higher collection risk.
How we can help
Analyse invoice ageing, payment history and customer behaviour to identify overdue patterns and concentration risks. Where sufficient historical data is available, we can also apply simple predictive techniques to help flag customers with a higher likelihood of delayed payment or potential bad-debt risk for further management review.
Have Questions, but No Analyst
Client Situation
Management has a specific business question but no internal analyst available to prepare the data, assess the problem and turn the information into a useful answer even though the data may already exist in the system.
How we can help
We start by defining the business question and reviewing the available data before deciding on the appropriate analytical approach. Applying a practical process using CRISP-DM, we move from business understanding, data preparation via analysis, evaluation and presentation of the findings. The objective is to provide insights for mgmt decision-making.
Data Analytics Services
1) Data Preparation & Analysis
Clean, organise, combine and structure information from accounting records, spreadsheets and other suitable sources before carrying out the required analysis. Depending on the assignment, we may use Excel, Python, Pandas or SQL to prepare and examine the data.
2) Financial & Management Analytics
Analyse revenue, expenses, margins, profitability, cash flow, receivables and other financial indicators to help management understand performance and identify areas worth investigating further.
3) Dashboards & KPI Reporting
Develop straightforward dashboards and visual reports using Power BI, Tableau or Excel, based on agreed business measures and the data available.
4) Sales, Customer & Operational Analysis
Where suitable records are available, analyse patterns across customers, products, services, locations, periods or other relevant business dimensions.
5) Trend & Predictive Analysis
For suitable datasets, apply straightforward statistical or machine-learning techniques such as regression, classification, clustering or time-series analysis to explore patterns and develop indicative predictive models. Results are interpreted together with their assumptions and limitations and should support - rather than replace - management judgement.
6) Data Visualisation & Management Reporting
Convert relevant data into charts, tables, dashboards and management summaries designed to make trends, comparisons and exceptions easier to understand.
*Data analytics service is intended for businesses that need practical analysis of existing financial and operational data rather than large-scale enterprise data engineering or complex technology implementation.
We focus on clearly defined business questions and proportionate solutions using established analytical and visualisation tools. Where an assignment requires specialist data engineering, enterprise technology architecture or advanced AI implementation beyond our scope, additional technical expertise may be required.
We focus on clearly defined business questions and proportionate solutions using established analytical and visualisation tools. Where an assignment requires specialist data engineering, enterprise technology architecture or advanced AI implementation beyond our scope, additional technical expertise may be required.
Have Data but Not Sure Where to Start? Discuss Your Data With Us.
Frequently Asked Questions
Do I need to be an existing accounting client?
No. The service can be scoped separately, although existing accounting clients may benefit from Deltus already understanding the structure and context of their financial records.
What data can you work with?
Depending on the assignment, this may include accounting exports, spreadsheets, sales records, receivables data and other structured operational information. We first review what is available and whether it is suitable for the question being asked.
Do you provide Power BI or Tableau dashboards?
Yes, for suitable projects we can develop practical dashboards or visual reports in Power BI, Tableau or Excel based on agreed measures and available data.
Can you predict future sales or business outcomes?
Historical data can sometimes be used to test trends or build indicative models, but results depend on data quality, volume, assumptions and the stability of historical relationships. Predictive analysis supports management judgement; it does not guarantee future outcomes.
Do you build enterprise data warehouses or complex AI systems?
Not as part of this service. Deltus focuses on practical SME analytics and management reporting. Projects requiring specialist enterprise architecture or advanced AI implementation may require separate technical specialists.
How is an assignment priced?
The scope depends on the business question, data condition, preparation effort, analysis required and expected deliverable. We review the requirements first and provide a written quotation before work begins.
Practical solutions tailored to your business
Tell us about your business and the support you require. We will help identify an appropriate starting scope and explain the information needed before work begins.